code: def test_end_to_end(self, model_name: str):
      data = [
          ("I'm against picketing", "but I don't know how to show it."),
          ("I saw a human pyramid once.", "It was very unnecessary."),
      ]
      tokenizer = cached_transformers.get_tokenizer(model_name)
      batch = tokenizer.batch_encode_plus(
          data, padding=True, return_tensors="pt"
      )
  
      with torch.no_grad():
          huggingface_model = cached_transformers.get(
              model_name, make_copy=False
          ).eval()
          huggingface_output = huggingface_model(**batch)
  
          embeddings = TransformerEmbeddings.from_pretrained_module(
              model_name
          ).eval()
          transformer_stack = TransformerStack.from_pretrained_module(
              model_name
          ).eval()
          pooler = TransformerPooler.from_pretrained_module(
              model_name
          ).eval()
          batch["attention_mask"] = batch["attention_mask"].to(
              torch.bool
          )
          output = embeddings(**batch)
          output = transformer_stack(output, batch["attention_mask"])
  
          assert_allclose(
              output.final_hidden_states,
              huggingface_output.last_hidden_state,
              rtol=0.0001,
              atol=1e-4,
          )
  
          output = pooler(output.final_hidden_states)
          assert_allclose(
              output,
              huggingface_output.pooler_output,
              rtol=0.0001,
              atol=1e-4,
          )
  
file_path: allennlp/tests/modules/transformer/toolkit_test.py
imports: import pytest
  import torch
  from torch.testing import assert_allclose
  from transformers import AutoModel
  from transformers.models.albert.modeling_albert import AlbertEmbeddings
  from allennlp.common import cached_transformers
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.modules.token_embedders import Embedding, TokenEmbedder
  from allennlp.modules.transformer import TransformerStack, TransformerEmbeddings, TransformerPooler
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 6 for calling the TestTransformerToolkit obj's underlying member method code with example usage: obj.test_end_to_end(model_name) without return types